Yu Chen

154 papers receiving 3.1k citations

Hit Papers

Few‐layer Bismuthene: Sonochemical Exfoliation, Nonlinear Optics and Applications for Ultrafast Photonics with Enhanced Stability 2017 · 384 citations
3842017202620202023100200300

Peers

Yu Chen
Comparison fields: 5 of 143
  • Computational Mathematics 63
  • Statistics and Probability 303
  • Polymers and Plastics 436
  • Civil and Structural Engineering 572
  • Statistics, Probability and Uncertainty 179
Replace Weijie Su with:
Weijie Su United States
Zheng Zhu Canada
Feifei Gao China
Youguang Guo Australia
Yuying Li China
Chong Wang China
Riccardo Sacco Italy
Rajib Chowdhury India
Bo Zhang China
Yu Chen relative to Weijie Su United States Weijie Su's profile →
Citations per field
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Weijie Su · 1×
Citations per year

Countries citing papers authored by Yu Chen

Since Specialization
Citations

This map shows the geographic impact of Yu Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Chen more than expected).

Fields of papers citing papers by Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yu Chen. The network helps show where Yu Chen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu Chen Line = papers co-authored together Yu Chen links everyone, so they are left out of the graph.

All Works

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Study of X70 Steel Corrosion Behaviors in Bicarbonate Solution
20071
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Ex-ante evaluation method of information system based on fuzzy linguistic information
20070

About Yu Chen

Yu Chen is a scholar working on Computational Mathematics, Safety, Risk, Reliability and Quality, Civil and Structural Engineering, Metals and Alloys and Polymers and Plastics, having authored 178 papers that have together received 3.2k indexed citations. Recurring topics across this work include Asphalt Pavement Performance Evaluation (24 papers), Infrastructure Maintenance and Monitoring (19 papers), Reliability and Maintenance Optimization (13 papers), Conducting polymers and applications (10 papers), Perovskite Materials and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Medical Image Segmentation Techniques (8 papers) and Geotechnical Engineering and Underground Structures (8 papers). The work is most often cited by research in Computational Mathematics (63 citations), Statistics and Probability (303 citations), Polymers and Plastics (436 citations), Civil and Structural Engineering (572 citations) and Statistics, Probability and Uncertainty (179 citations). Yu Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Baba C. Vemuri, Murali Rao, Fei Wang, Zhanping You, Thomas H. Mareci, Ziyang Wang, Hainian Wang, Christiana M. Leonard, Zhiming Liang and Yufeng Song. Their work appears in journals such as Construction and Building Materials, Applied Surface Science, Journal of Energy Storage, ACS Applied Materials & Interfaces and International Journal of Pavement Research and Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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